We present PandaGPT, an approach to emPower large lANguage moDels with v...
Biomedical named entity recognition is one of the core tasks in biomedic...
Event extraction is a complex information extraction task that involves
...
Recent pre-trained language models have shown promising capabilities in
...
Open-ended text generation with autoregressive language models (LMs) is ...
In the study, we empirically compare the two recently proposed decoding
...
Generating text with autoregressive language models (LMs) is of great
im...
Contextual information in search sessions is important for capturing use...
Text generation is of great importance to many natural language processi...
Recent advance in deep learning has led to rapid adoption of machine lea...
Recently, retrieval-augmented text generation attracted increasing atten...
Recent research on dialogue response selection has been mainly focused o...
Pre-trained language models have been recently shown to benefit task-ori...
Recent developments in neural networks have led to the advance in
data-t...
Neural table-to-text generation models have achieved remarkable progress...
Non-autoregressive generation (NAG) has recently attracted great attenti...
We study the learning of a matching model for dialogue response selectio...
The ability of a dialog system to express prespecified language style du...
Stylistic response generation is crucial for building an engaging dialog...